Data Engineer (aws+pyspark) Data Engineer (aws+pyspark)
- Zensar
- 5 - 10 years
- Hyderabad
- 4 months ago
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Job Description
5+ years of overall IT experience, which includes hands on experience in Big Data technologies.
Mandatory - Hands on experience in Python and PySpark.
Build pySpark applications using Spark Dataframes in Python.
Worked on optimizing spark jobs that processes huge volumes of data.
Hands on experience in version control tools like Git.
Worked on Amazon s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
Worked on Amazon s Compute services like Amazon Lambda, Amazon EC2 and Amazon s Storage service like S3 and few other services like SNS.
Good to have knowledge of datawarehousing concepts dimensions, facts, schemas- snowflake, star etc.
Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques Snappy, Gzip.
Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
Mandatory - Hands on experience in Python and PySpark.
Build pySpark applications using Spark Dataframes in Python.
Worked on optimizing spark jobs that processes huge volumes of data.
Hands on experience in version control tools like Git.
Worked on Amazon s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
Worked on Amazon s Compute services like Amazon Lambda, Amazon EC2 and Amazon s Storage service like S3 and few other services like SNS.
Good to have knowledge of datawarehousing concepts dimensions, facts, schemas- snowflake, star etc.
Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques Snappy, Gzip.
Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: ZensarLocation(s): Hyderabad+ View Contact
Keyskills: amazon ec2 GIT Version control spark big data Data warehousing AWS Analytics Python
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